AGENT SKILL

nodetool-chat-cli

Use NodeTool chat CLI sessions, provider selection, workspace tools, and Global Chat features.

License 许可
AGPL-3.0
最近更新
2026-11-14
Stars
★ 633
Forks
90

01 前言 Front Matter

name
nodetool-chat-cli
description
Use NodeTool chat CLI sessions, provider selection, workspace tools, and Global Chat features.

03 SKILL.md 正文

You help users use NodeTool's chat interfaces — the terminal chat CLI and Global Chat.

Chat CLI

The chat CLI fills the terminal with a scrollable transcript, multiline composer, tool details, task progress, and approval prompts. Two entry points:

  • nodetool-chat (standalone binary)
  • nodetool chat (subcommand that forwards to the chat UI)

From source (no build): npm run dev:chat -- [flags].

Starting Chat

# Interactive chat (default provider/model from saved settings)
nodetool chat

# With a specific provider/model
nodetool chat -p openai -m gpt-5.4
nodetool chat -p anthropic -m claude-sonnet-4-6
nodetool chat -p ollama -m qwen-3.5:4b

# Restrict the enabled tools
nodetool chat --tools web_search,browser,write_file

# Connect to a running server instead of a local provider
nodetool chat -u ws://localhost:7777/ws

Agent mode is always on. Every chat session runs the unified agent loop (planning + tools). The old -a/--agent and --no-agent flags are deprecated no-ops kept for compatibility.

CLI Flags

Flag Purpose
-p, --provider <name> LLM provider (see list below)
-m, --model <id> Model ID
-w, --workspace <path> Workspace directory (default: cwd)
--tools <list> Comma-separated enabled tools
-u, --url <ws-url> Connect to a NodeTool server WebSocket
--resume [id] Resume a saved session in this workspace, latest if no ID is given
`--permission-mode <default auto
--cost-cap <usd> Ceiling on provider spend for one turn. 0 lifts it. Default from NODETOOL_AGENT_TURN_COST_CAP_USD
--timeout <s> Wall-clock limit on one turn, in seconds
--no-read-only-search Disable the read-only run_search fan-out primitive
--trace-file <path> Append LLM/agent/workflow spans as JSONL
--trace-stdout [pretty|json] Stream spans to stdout

Providers: anthropic, claude_agent_sdk, openai, codex, gemini, xai, groq, mistral, deepseek, moonshot, sarvam, minimax, zai, cerebras, gmi, meta, alibaba, together, openrouter, requesty, opper, cheaperinference, api_route, runcrate, standardcompute, uberllm, huggingface, replicate, kie, aki, ollama, lmstudio, mlx, node_llama_cpp. Any other registered provider id (e.g. vllm) also works when passed explicitly.

Slash Commands (prefix with /)

Command Purpose
/help Show commands and keyboard shortcuts in the transcript
/new Start a fresh session (clears history + server thread)
/clear Clear the visible history
/compact Summarize and compact the conversation context
/model [provider/id] Browse models from all configured providers, or switch with a provider/model ID
/agent [id|main] Browse sub-agent threads, inspect one, or return to the main conversation
/tools List the enabled tools
`/mode <default auto
/sessions Browse saved conversations for this workspace and server
/resume [id] Resume a saved conversation
/export [path.md] Save a Markdown transcript without overwriting an existing file
/details Toggle tool arguments, code, and edit diffs
/exit, /quit Quit chat

Enter sends. Alt+Enter, Shift+Enter in supported terminals, or Ctrl+J inserts a newline. Up/Down recalls prompts and Tab completes commands. Page Up/Page Down scrolls, Ctrl+G returns to the latest output, and Ctrl+O toggles tool details. Escape cancels a turn or dismisses input. Ctrl+C cancels, clears a draft, or saves and exits when idle with an empty composer. Approval prompts show their answer keys and can be scrolled before answering.

/compact summarizes local context. Connected servers manage their own context. /clear only clears the screen, while /new resets the conversation.

Non-slash input is sent to the model as a chat message — there is no built-in shell (ls, cd, …) in the chat prompt. File operations happen through the agent's file tools in the workspace.

Configuration

  • Settings file: ~/.nodetool/chat-settings.json (persists provider + model)
  • Sessions: ~/.nodetool/chat-sessions/ (transcript, context, provider continuation)
  • Sessions are saved after turns and on exit. The picker filters by workspace and server. Resuming does not carry over approval grants.

Agent Capabilities

Because the agent loop is always active, the chat can:

  1. Plan — break tasks into steps
  2. Use tools — search, browse, file ops, code execution, media generation
  3. Iterate — execute steps, evaluate results, adapt
  4. Run workflows — trigger saved NodeTool workflows

Common Tools

Tool Capability
web_search Web search
browser Browse and extract web content
read_file / write_file / edit_file Workspace file ops
grep / glob Search files
take_screenshot Capture a page screenshot
find_model Pick a model by capability
generate_image / generate_video / generate_speech Media generation

Restrict the set with --tools a,b,c; inspect the active set with /tools. --tools matches exact names and drops unknown ones without an error, so check /tools after restricting.

Global Chat

Global Chat is the desktop app's built-in chat interface.

Features

  • Chat with any configured AI model (OpenAI, Anthropic, Gemini, local)
  • Multiple conversation threads
  • Standalone window (launch from the system tray)
  • Tools: web search, image generation, workflow execution
  • The same always-on agent loop as the CLI

Workflow Integration

1. Save a workflow in the NodeTool editor
2. Open Global Chat
3. Select the workflow from the workflow picker
4. Chat naturally — the agent can invoke the workflow as a tool

Typical Flows

Quick Question

nodetool chat -p openai -m gpt-5.4
> What's the difference between FAISS and ChromaDB?

Research Task

nodetool chat --tools web_search,browser,write_file
> Research the top 5 TypeScript ORMs and write a comparison to comparison.md

Code Generation

nodetool chat -p anthropic -m claude-sonnet-4-6 --tools write_file,read_file,grep
> Create a Python script that processes CSV files and generates summary statistics

Headless / Programmatic Chat

For non-interactive chat, use the OpenAI-compatible Chat API on a running server (nodetool serve):

curl -X POST http://localhost:7777/v1/chat/completions \
  -H "Authorization: Bearer TOKEN" \
  -d '{"model": "gpt-5.4", "messages": [{"role": "user", "content": "Hello"}]}'

Common Pitfalls

  • No provider configured: store a key first (nodetool secrets store OPENAI_API_KEY). The /model picker lists models only from configured providers.
  • Wrong model ID: switch with /model <provider>/<id>; the picker searches every configured provider.
  • Expecting a shell: bare commands like ls are sent to the model, not run. Use the agent's file tools instead.
  • Using /agent as a toggle: agent mode is always on. /agent inspects delegated sub-agent threads.
  • Unattended runs spend without asking: piped input defaults to --permission-mode auto. Set --cost-cap and --timeout for scripted sessions.

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